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pro vyhledávání: '"James A. Proudfoot, MS"'
Autor:
Rui Fan, PhD, Kamran Alipour, PhD, Christopher Bowd, PhD, Mark Christopher, PhD, Nicole Brye, James A. Proudfoot, MS, Michael H. Goldbaum, MD, Akram Belghith, PhD, Christopher A. Girkin, MD, Massimo A. Fazio, PhD, Jeffrey M. Liebmann, MD, Robert N. Weinreb, MD, Michael Pazzani, PhD, David Kriegman, PhD, Linda M. Zangwill, PhD
Publikováno v:
Ophthalmology Science, Vol 3, Iss 1, Pp 100233- (2023)
Purpose: To compare the diagnostic accuracy and explainability of a Vision Transformer deep learning technique, Data-efficient image Transformer (DeiT), and ResNet-50, trained on fundus photographs from the Ocular Hypertension Treatment Study (OHTS)
Externí odkaz:
https://doaj.org/article/136c451302b347619841acec91a433a5
